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· Nov 1, 2021 3m read

Top 10 InterSystems IRIS Features

#Adaptive Analytics #Best Practices #Interoperability #InterSystems API Manager (IAM) #Python #InterSystems IRIS

The InterSystems IRIS is a great data platform and it is met the current features required by the market. In this article, you see the top 10:

Rank Feature Why Learning more about it
1 Adaptive Analytics Analyze the current business data "AS IS" and in the real time, with less modeling effort, more runtime speed and support to the main analytic viewers (including Excel) is a key factor to the business corporate strategy.

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2 API Manager The digital assets are consumed using API REST. Is required govern the reuse, security, consuming, asset catalog, developer ecosystem and others aspects in a central point. The API Manager is the right tool to do this. So, all the companies have or want to have an API Manager. Link
3 Sharding Database The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching 64.2 zettabytes in 2020. Over the next five years up to 2025, global data creation is projected to grow to more than 180 zettabytes. In 2020, the amount of data created and replicated reached a new high (source: https://www.statista.com/ statistics/871513/worldwide-data-created/). In this scenario, is critical to the business be able to process data in a distributed way (into shards, like hadoop, or mongodb), to increase and mantain the performance. The other important thing is the IRIS is 3 times more rapid then Cache, and more rapid then AWS databases, into the AWS cloud.

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4 Python support Python is the most popular language to do AI and AI is in the center of the business strategy, because allows you get new insights, get more productivity and reduce costs.

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5 Native APIs (Java, .NET, Node.js, Python) and PEX The US has nearly 1 million open IT jobs (source: https://www.cnbc.com/2019/11/06/ how-switching-careers-to-tech-could-solve-the-us-talent-shortage.html). Is very hard find an Object Script developer. So, is important be able use IRIS features, like interoperability with the developer team official programming language (Python, Java, .NET, etc.).

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6 Interoperability, FHIR and IoT Businesses are constantly connecting and exchanging data. Departments also need to work connected to deliver business processes with more strategic value and lower cost. The best technology to do this, is the interoperability tools, especially ESB, Integration Adapters, Business Process automation engines (BPL), data transformation tools (DTL) and the adoption of market interoperability standards, like FHIR and MQTT/IoT. The InterSystems Interoperability supports all this (for FHIR use IRIS for Health).

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7 Cloud, Docker & Microservices Everyone now wants cloud microservices architecture. They want to break the monoliths to create projects that are smaller, less complex, less coupled, more scalable, reusable, and independent. IRIS allows you deploy data, application and analytics microservices, thanks IRIS support to shards, docker, kubernetes, distributed computing, DevOps tools and lower CPU/memory consumption (IRIS supports even ARM processors!). But microservices requires the microservice API management, using API Manager, to be used aligned to the business.

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8 Embedded reports Reports are crucial to the business. Operational and decision maker staff use reports to support your work. Many reports are delivered to the clients too. But, with mobile apps, and microservices apps, it is required enable embedded reports. The InterSystems IRIS Reports support all this. Link 1
9 VSCode support VSCode is the most popular IDE and InterSystems IRIS has a good set of tools for it.

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10 Data Science The ability to apply data science to the data, integration and transaction requests and responses, using Python, R and IntegratedML (AutoML) enable AI intelligence at the moment is required by the business. The InterSystems IRIS deliver AI with Python, R and IntegratedML (AutoML)

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